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Record W4311100599 · doi:10.3390/soc12060181

Family and Youth Development: Some Concepts and Findings Linked to The Ecocultural and Acculturation Models

2022· article· en· W4311100599 on OpenAlexaff
John W. Berry

Bibliographic record

VenueSocieties · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicRacial and Ethnic Identity Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsAcculturationAdaptation (eye)PsychologySettlement (finance)Social psychologyProcess (computing)Scale (ratio)Developmental psychologySociologyEthnic groupGeographyAnthropologyComputer science

Abstract

fetched live from OpenAlex

Much research on migrants has focused on single individuals; however, the large-scale movement of people from one society to another often includes families made up of parents, their children and other relatives. Over time, these families and their members settle into their new society; they experience the process of acculturation and eventually adapt to their new circumstances. The processes of acculturation and adaptation are highly variable across cultural groups, societies of settlement, families and individuals. Sometimes this process is challenging, and may engender disagreements and conflicts among members of a family about how to acculturate. Variations in these patterns allow for the examination of which acculturation experiences and strategies lead to better adaptations. This paper reviews some of the core concepts and frameworks for examining them, and presents some findings on how families and youth acculturate and adapt. It concludes with some suggestions for how to acculturate using the integration strategy to improve family and individual adaptations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0040.015
Scholarly communication0.0040.006
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.087
GPT teacher head0.349
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations15
Published2022
Admission routes1
Has abstractyes

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